> For the complete documentation index, see [llms.txt](https://docs.uptiq.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.uptiq.ai/ai-workbench-qore/console/app-builder/operate.md).

# Operate

Monitor costs, acquisition, analytics, and app health after launch.

Deploying a financial application is the first step, not the last. Once it's live, the priority shifts from development to governance, fiscal transparency, and scale. **Operate** is the administrative control tower for your ecosystem of AI-driven tools.

In a production banking environment, every interaction carries a cost and every user journey requires attribution.

For account-wide governance and monitoring, use the [Control Center](/ai-workbench-qore/start-here/control-center.md).

## Usage and cost control

The **Usage & Cost Control** dashboard gives a high-fidelity view of how AI resources are consumed across your digital ecosystem — from a single Commercial Loan Portal to a suite of internal Compliance Agents.

**App build-time cost visibility.** App build-time cost visibility has been added, so you know what you're spending before you even publish.

For account-wide credit usage, spending limits, and alerts, use [Cost Control](/ai-workbench-qore/control-center/cost-control.md) in Control Center.

### Resource tracking

Live telemetry on credit and token consumption, rather than retrospective reporting.

* **Token-Level Visibility**: Monitor LLM token usage across providers (e.g., Vertex AI, Claude) to understand the exact cost of each automated interaction.
* **Credit Management:** Track platform credits in real time, whether you're on Pay-As-You-Go or a pre-allocated enterprise plan.
* **Automated Institutional Invoicing:** Detailed invoices break usage down so you can reconcile expenses or re-allocate costs to departments or branch locations.

{% hint style="info" %}
**Auto-unpublish on Dev/QA environments after 5 hours**

In line with our ongoing cost-control efforts, apps on Dev and QA environments will now auto-unpublish after 5 hours of inactivity.
{% endhint %}

### Budget optimization

Attribute costs to specific business outcomes.

* **Identify High-Consumption Assets:** See which apps or agents are most resource-intensive. If a Wealth Management Chatbot consumes more tokens than expected, refine its prompt or switch it to **Flash Mode** to improve unit economics.
* **Departmental Allocation:** Attribute usage to business units, enabling charge-back models where Commercial Lending and Retail Banking are billed only for the AI logic they use.
* **Budget Guardrails:** Set proactive alerts and thresholds so a pilot project stays within its quarterly budget — you're notified before usage hits critical levels.

## Analytics and referrals

Understanding where a high-value lead came from is essential for optimizing marketing spend and managing partner relationships. **Referral Tracking** monitors user acquisition with granular precision.

For unified engagement data across published apps, use [Observe](/ai-workbench-qore/control-center/observe.md) in Control Center. For one app's traffic, use [Analytics](/ai-workbench-qore/console/app-builder/analytics.md).

* **UTM-Based Referrals:** Track which campaigns, emails, or digital ads convert into active users.
* **Partner Link Attribution:** Assign unique referral codes to external partners — mortgage brokers, insurance agents, branch locations. When a user onboards via a partner link, the acquisition is permanently attributed to the correct source.
* **Conversion Insights:** Identify which referral channels drive the highest quality applications by tracking the path from click to submitted loan application.
* **Performance Auditing:** Review acquisition data to ensure marketing budget goes to the highest-performing channels.
* **Seamless Integration:** Referral data is captured at the point of entry and can be passed into your CRM or internal reporting systems through an agent's [API Call](/ai-workbench-qore/platform-resources/skill-library/api-call.md) skill.

## System health

Maintain visibility into platform stability and response times to ensure your deployment delivers the experience your brand promises.

For organization-wide dashboards across every app and agent, see [Monitoring & Performance Dashboards](/ai-workbench-qore/control-center/observe.md) under Governance. For a single agent's runtime behavior, see [Monitor](/ai-workbench-qore/console/agent-builder/monitor.md) in the Agent Builder.

For account-wide activity, model calls, and API requests, use [Observe](/ai-workbench-qore/control-center/observe.md) in Control Center.

***

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<p align="right"><em>Maintained by</em> <mark style="color:green;">Abhishek Paul</mark><br><code>AI-assisted, human-approved</code></p>
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<div align="left"><img src="https://1326225582-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F0qmgQjJ5aArDTj2ACFHG%2Fuploads%2Fgit-blob-d034645b4f8f8ee661985f5306b60ded3289653c%2Fmaintainer-abhishek-paul.png?alt=media" alt="" width="60"></div>
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